Local-Clustering-Acquisition for Carrier Doppler-Shift in Space Communications
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1.School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;2.State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China;3.School of Computer Engineering, Tongda College, Nanjing University of Posts and Telecommunications, Yangzhou 225127, China;4.Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China

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TN929.5

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    Abstract:

    Different from ground communications, space communications usually involve signal vehicles that travel over long-distance at a high speed. In these scenarios, the signal transmission faces two difficulties: A low signal-to-noise-ratio (SNR) caused by the long-distance path-loss and a dynamic Doppler-shift caused by the high-speed movement. For Doppler-shift acquisition, the low SNR requires a long-time accumulation to accumulate a large number of signals. However, during this period, the dynamic Doppler-shift disperses all signals’ total energy over a wide frequency range. To address the energy dispersion problem, this paper proposes a local-clustering-acquisition (LCA) algorithm. The LCA algorithm uses the largest elements from the global-ranges to construct a local-range, then selects some large elements from this local-range for clustering, and finally searches the largest cluster from the clustering results to obtain the acquisition result. Theoretical analysis and simulation validation results demonstrate the LCA algorithm’s significant advantages in increasing acquisition probability, as compared with the existing algorithms.

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ZHANG Zhaowei, WANG Shuaiwei, DU Shuai, WU Tong, QIU Shuaibo, LIU Lin, ZUO Jiakuo, PAN Su. Local-Clustering-Acquisition for Carrier Doppler-Shift in Space Communications[J].,2025,40(1):147-162.

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History
  • Received:January 24,2024
  • Revised:September 27,2024
  • Adopted:
  • Online: February 23,2025
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